Amiibo MCP for AI. Query Nintendo's entire collectible database instantly.

Q: How do I find all the different kinds of Amiibos available?

You call listtypes. This tool provides a list of the physical formats, such as Figure, Card, and Yarn, which tells you what kind of collectibles exist in the database.

Q: What should I use to search for Amiibos by character?

Use listamiibos and include the character name as a filter. This is much more reliable than just listing characters first, because it links the data points together.

Q: How do I know if the data is up-to-date?

Run getlastupdated. This call gives you a timestamp that confirms when the entire collection's metadata was last synchronized, so you know your search results are based on recent info.

Q: How do I use listamiibos to find items that fit multiple criteria, like a specific type and game series?

You combine filtering parameters directly within the listamiibos tool. This lets your agent narrow down results by two or more criteria simultaneously. For instance, providing both the desired type and the corresponding series ID ensures you get only matching items.

Q: How do I retrieve an exhaustive list of all known Amiibo collectible series?

Run the dedicated listamiiboseries tool. This provides a complete record of every recognized collection line, letting you know what search scopes are available before you run any general query.

Q: To map out all potential metadata fields, should I use which tools?

Use both listtypes and listcharacters. Running these listing tools helps your agent see the full structure of the data—what types exist (Figure, Card) and what characters are associated with those items.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Amiibo provides direct access to Nintendo's collectible database via an MCP connection. Use this toolset to search, filter, and retrieve precise metadata on Amiibos by name, character, game series, or type.

Check the status of the entire catalog, look up a specific figure by its 16-digit ID, and browse every known series in one place.

What your AI can do

Get amiibo

Retrieves all metadata for a single Amiibo figure using its unique 16-digit ID.

Get last updated

Returns the date and time when the Amiibo database was last synchronized.

List amiibo series

Fetches a complete list of all established Amiibo product lines or collections.

+ 4 more capabilities included

Search entire collections

You can list figures and cards by applying multiple filters like name, character, game series, and type simultaneously.

Retrieve item details by ID

Give the agent a unique 16-digit identifier to pull all specific metadata about one Amiibo figure.

Discover data scope

List every available character, game series, or physical type of collectible that exists in the database.

Verify catalog freshness

Check the timestamp to confirm when the entire Amiibo database was last updated with new releases.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

Amiibo: 7 Tools Available

Use these seven tools to query every aspect of the Amiibo database, from general character lists to specific item metadata.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Amiibo on Vinkius

Get Amiibo

Retrieves all metadata for a single Amiibo figure using its unique 16-digit ID.

Get Last Updated

Returns the date and time when the Amiibo database was last synchronized.

List Amiibo Series

Fetches a complete list of all established Amiibo product lines or collections.

List Amiibos

Searches and filters the entire collection by name, character, game series, or type...

List Characters

Provides a list of every distinct character available in the Amiibo database.

List Game Series

Lists all video game franchises that have associated Amiibo products.

List Types

Returns a list of physical formats, such as Figure or Card, available for collectibles.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Amiibo integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "amiibo": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Amiibo tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"amiibo": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Amiibo, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AmiiboAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Cloud Hosted

Managed infra

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Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

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EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 7 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Checking Amiibo Data Used to Be Painful

Today, figuring out the full scope of an Amiibo collection means jumping between multiple wiki pages and fan forums. You search by name, but then you have to find a separate page for the game series it belongs to. If you need to know if Card figures exist for Character X, you’re manually comparing three different databases.

With this MCP, your agent handles that entire process. You just ask: 'What types of collectibles are available in the Super Smash Bros. line?' The system uses `list_types` and related functions to pull all necessary data points—figures, cards, etc.—into one structured response.

Getting Specific Amiibo Details with `get_amiibo`

Before this MCP, if you found an obscure amiibo on eBay, determining its exact type and metadata meant guessing or cross-referencing a dozen manual data points. You had to copy the ID and hope the forum was right.

Now, give your agent the 16-digit ID to `get_amiibo`. It instantly returns every piece of official metadata tied to that item—the model name, series association, and type—without you having to check any external reference.

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What your AI can actually do with this

The Amiibo MCP lets your agent explore Nintendo's massive line of collectibles without needing to hit an external website. You can query everything from figures and cards to plushies using natural conversation with any compatible AI client. Need to find all the characters associated with a specific game or check which types of items exist? This connector handles it all.

If you’re tracking inventory or building apps around pop culture data, this is your source. It's hosted on Vinkius, so once you connect your agent, you get access to thousands of other specialized databases too. You simply ask for the data—whether you need a character list, a full series breakdown, or just details on one item—and it gets returned immediately.

Built · Hosted · Managed by Vinkius Amiibo MCP - Query Nintendo Collectible Data

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Compliance Grade F

Score 3.6/100

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Here's how it actually works

The bottom line is, you get clean, actionable Amiibo metadata returned instantly through your agent without writing any HTTP requests yourself.

Subscribe to this MCP on Vinkius. No API key is required for the public AmiiboAPI.

Your agent calls a specific tool, like list_amiibos, specifying filters (e.g., 'Super Mario' or 'Card').

The MCP executes the query against the database and returns structured JSON data directly to your AI client.

What Changes When You Connect

Stop guessing what data exists. Use list_types to see if the Amiibos are Figures, Cards, or something else entirely before building your query.

Need a full list of all possible characters? Call list_characters first. This ensures you have every name available for filtering in later steps.

Tracking series is fast. Start with list_game_series, then use the resulting data to filter Amiibos using list_amiibos. It’s a two-step process that guarantees accurate results.

When developing an inventory tracker, you don't want stale data. Run get_last_updated first to verify the catalog is current before running any major searches.

Pinpoint specific items instantly. If you know the ID, use get_amiibo(id) instead of searching; it’s faster and more direct.

See it in action

01 01

Building a cross-platform inventory tracker

The developer needs to track every Amiibo for 'Pokémon' across different games. They call list_game_series to confirm the correct franchise, then use that result to filter all records with list_amiibos, ensuring no series are missed.

02 02

Quickly checking a specific item

A collector finds an old Amiibo box and needs to know exactly what it is. They provide the 16-digit ID to get_amiibo(id), getting all the required metadata immediately, without manual cross-referencing.

03 03

Understanding data boundaries

A new user needs to know if Card Amiibos exist for a game. They call list_types first to see available formats, confirming that 'Card' is indeed an option before attempting any complex searches.

04 04

Drafting comprehensive data reports

A researcher needs a report on all characters released in the Super Smash Bros. series. They use list_characters to get names, then call list_amiibos with filters for both 'Super Smash Bros.' and the relevant character name.

The honest tradeoffs

Over-relying on one search call

Anti-pattern

The agent runs a single, broad query against list_amiibos hoping to get all data for a specific character across multiple games. The results are often incomplete or require manual filtering.

The Fix

Break it down. First, use list_characters to get the definitive list of characters. Then, iterate over that list and call list_amiibos, adding filters for each game series you need.

Ignoring data freshness

Anti-pattern

A user attempts a complex search using list_amiibos based on an old assumption, only to find the results don't reflect recent releases. They assume the data is current.

The Fix

Always run get_last_updated first. If the timestamp is old, warn the user that the information might be outdated before they proceed with any searches.

Mixing up roles

Anti-pattern

Trying to find a specific item by its name when you actually only have its ID number. The search fails because it expects filtering parameters, not just vague text.

The Fix

If you have the 16-digit identifier, always use get_amiibo(id). It's the most direct path to a single record.

When It Fits, When It Doesn't

Use this MCP if your goal is strictly retrieving structured metadata about Amiibos (figures, cards, plushies) and their relationship to Nintendo characters or game franchises. The tools are designed for deep data extraction—if you need the full list of available types or games first, you must call list_types or list_game_series. Don't use this if you just want a general overview; run list_amiibos with broad filters. If you are building an application that requires real-time data streaming or complex web interactions, consider using a different type of API connector, as this MCP is optimized for structured database querying.

Questions you might have

How do I find all the different kinds of Amiibos available? +

You call list_types. This tool provides a list of the physical formats, such as Figure, Card, and Yarn, which tells you what kind of collectibles exist in the database.

What should I use to search for Amiibos by character? +

Use list_amiibos and include the character name as a filter. This is much more reliable than just listing characters first, because it links the data points together.

Do I need an API key to use `get_amiibo`? +

No, you don't. The AmiiboAPI is public, so once connected via Vinkius, your agent can run get_amiibo without requiring any private credentials.

How do I know if the data is up-to-date? +

Run get_last_updated. This call gives you a timestamp that confirms when the entire collection's metadata was last synchronized, so you know your search results are based on recent info.

How do I use `list_amiibos` to find items that fit multiple criteria, like a specific type and game series? +

You combine filtering parameters directly within the list_amiibos tool. This lets your agent narrow down results by two or more criteria simultaneously. For instance, providing both the desired type and the corresponding series ID ensures you get only matching items.

If I run `get_amiibo` with an invalid or non-existent 16-digit Amiibo ID, what response should my agent expect? +

The tool returns a structured error message confirming the ID is not found. Your AI client can then immediately confirm if you need to adjust your search parameters or check the available IDs using other listing tools.

How do I retrieve an exhaustive list of all known Amiibo collectible series? +

Run the dedicated list_amiibo_series tool. This provides a complete record of every recognized collection line, letting you know what search scopes are available before you run any general query.

To map out all potential metadata fields, should I use which tools? +

Use both list_types and list_characters. Running these listing tools helps your agent see the full structure of the data—what types exist (Figure, Card) and what characters are associated with those items.

How can I filter Amiibos by a specific game series like Super Smash Bros.? +

You can use the list_amiibos tool and provide the series name in the amiiboseries or gameseries parameter. The agent will return all matching figures and cards from that collection.

Can I see all the different characters that have Amiibo versions? +

Yes! Use the list_characters tool to retrieve a complete list of every character represented in the Amiibo database.

How do I get the specific details of a single Amiibo if I have its ID? +

Simply provide the 16-digit ID to the get_amiibo tool. It will return detailed information including the character, series, release dates, and image URL.

Connect to your AI in seconds.

Get amiibo

Get last updated

List amiibo series

Amiibo: 7 Tools Available

Make your AI actually useful.

Get Amiibo

Get Last Updated

List Amiibo Series

List Amiibos

List Characters

List Game Series

List Types

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Checking Amiibo Data Used to Be Painful

Getting Specific Amiibo Details with `get_amiibo`

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Building a cross-platform inventory tracker

Quickly checking a specific item

Understanding data boundaries

Drafting comprehensive data reports

The honest tradeoffs

Over-relying on one search call

Ignoring data freshness

Mixing up roles

When It Fits, When It Doesn't

Questions you might have